PhD Thesis

Chapter 2(Literature Review)

Google Doc: https://docs.google.com/document/d/10tP-xjBArKgMEwYiLWlyBXkJn41_gsph/edit

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Chapter 3 (Developing Tourist Forecasting System (TFS) )

Google Doc: https://docs.google.com/document/d/1dGnQaE0sQgtN0nPc9Dlm_gB5xC-xMpHR/edit

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Chapter 4 (Developing Tourist Spot Recommendation System (TSRS) )

Google Doc: https://docs.google.com/document/d/1gjy0vm-9qoH0KLztuDsEWvj_oa5KMZJB/edit

• • 4.1 Introduction

    • 4.2 Overview of Existing Approaches

      • 4.2.1 Sentiment Analysis

      • 4.2.2 Support Vector Machines (SVM)

      • 4.2.3 Bayesian Network

      • 4.2.4 Outlier detection-based classification

    • 4.3 Proposed System

    • 4.3.1 Data collection

      • 4.3.2 Pattern Classification

      • 4.3.3 Proposed algorithm

    • 4.4 Experimental Results and Discussion

      • 4.4.1 Energy consumption data collection and system setup

      • 4.4.2 Data classification using LM-based neural network classifier

      • 4.4.3 Results and verification

      • 4.4.4 True positive and false positive test results

      • 4.4.5. Comparison of the proposed approach with existing methods

  • 4.5 Summary

Chapter 5 (Developing Tourist Path Prediction System (TPPS) )

Gooogle doc: https://docs.google.com/document/d/1I0VGTeIdUPcsQBOAoMZCz66yEBuHIet1/edit

• • Approach

  • 5.1 Introduction

  • 5.2 Proposed System

    • 5.2.1 Data Collection and Preprocessing

    • 5.2.2 Linear and Non-linear Regression Model

    • 5.2.3 Back-propagation Artificial Neural Network

    • 5.3 Experimental Results and Discussion

      • 5.3.1 Prediction of Tourist Forecasting using Multiple Regression Analysis

      • 5.3.2 Prediction of Tourist Forecasting using LMBP-ANN

    • 5.4 Comparison of Regression and LMBP-ANN Model

    • 5.5 Summary

Chapter 6 (Developing Tourist Observation System (TOS) )

Google Doc: https://docs.google.com/document/d/19QY0xccf2RKOmrTVeTINfNZYyR73e0Mo/edit

• • 6.1 Introduction

  • 6.2 Overview of Existing Prediction Methods

  • 6.3 Design of Prediction Models

  • 6.4 Proposed Approach for Cement Strength Prediction

  • 6.5 Experimental Results and Discussion

  • 6.5.1 Performance Indexes

  • 6.5.2 Computation of Hidden Nodes

  • 6.5.3 Performance Analysis Comparison of Existing results and Proposed Approach results.

  • 6.5.4 Performance Analysis of Existing Methods

  • 6.5.5 Performance Analysis of Proposed Approach

  • 6.5.6 Training Performance

  • 6.6 Comparison of Computational Time for Existing and Proposed Approach

  • 6.7 Summary

Chapter 7 (Conclusion, Contributions, Limitations, and Future Scope)